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AbstractClassifier.train(Sample[])
or
the weighted version.
train
-method.
true
, if this CollectionParameter
has a
default value.
true
if the parameter either has a default value or
the value was set by the user, false
otherwise.
true
if all parameters in this ParameterSet
are either set by the user or have default values.
HiddenMotifMixture
.
Storable
.
HiddenMotifsMixture
that is either an OOPS or a ZOOPS model depending on the chosen type
.
HiddenMotifsMixture
that allows to have one site of the specified motifs in a Sequence
.
Storable
.
Storable
.
Storable
.
Storable
.
HomMMParameterSet
with AlphabetContainer
,
ess (equivalent sample size), description and order
of the homogeneous Markov model.
Storable
.
Storable
.
Storable
.
HomogeneousModel.HomCondProb
instance from a given one.
Storable
.
HomogeneousModelParameterSet
from the class that can be
instantiated using this HomogeneousModelParameterSet
.
HomogeneousModelParameterSet
with
AlphabetContainer
, ess (equivalent sample
size), description and order of the homogeneous Markov model.
ScoringFunction
s.HomogeneousScoringFunction
that models sequences of arbitrary
length.
HomogeneousScoringFunction
that models sequences of a given
length.
Storable
.
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